Yangfan Wang

15 papers A* 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A smart contract vulnerability detection method based on deep semantic feature fusion. J. Supercomput. Nannan Xie, Yangfan Wang, Mohan Jia, Jing Kong
2026	J	`jnl`	KA2L: A Knowledge-Aware Active Learning Framework for LLMs. CoRR Haoxuan Yin, Bojian Liu, Chen Tang, Yangfan Wang, Lian Yan, Jingchi Jiang
2025	J	`jnl`	Andro-BCFL: Blockchain and federated learning based Android malware detection. Comput. Electr. Eng. Nannan Xie, Linyang Mu, Yangfan Wang, Yubo Ma
2025	A*	`conf`	KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling. EMNLP Yangfan Wang, Jie Liu, Chen Tang, Lian Yan, Jingchi Jiang
2025	J	`jnl`	KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling. CoRR Yangfan Wang, Jie Liu, Chen Tang, Lian Yan, Jingchi Jiang
2025	J	`jnl`	Semantic-Oriented Modulation for Wireless Communication. IEEE Internet Things J. Yangfan Wang, Xuefei Zhang, Yao Sun, Qimei Cui, Xiaofeng Tao
2024	J	`jnl`	Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification. Neural Networks Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning
2024	J	`jnl`	Multi-node knowledge graph assisted distributed fault detection for large-scale industrial processes based on graph attention network and bidirectional LSTMs. Neural Networks Qing Li, Yangfan Wang, Jie Dong, Chi Zhang, Kaixiang Peng
2023	J	`jnl`	BTD: An effective business-related hot topic detection scheme in professional social networks. Inf. Sci. Lujie Zhou, Yuxin Mao, Naixue Xiong, Yangfan Wang, Feng Feng
2023	—	`conf`	Exergy-related Operating Performance Assessment for Hot Rolling Process Based on Multiple imputation and Multi-class Support Vector Data Description. ICPS Chuanfang Zhang, Kaixiang Peng, Jie Dong, Liang Ma, Yangfan Wang, Dongjie Hua
2023	J	`jnl`	Indoor Multipedestrian Multicamera Tracking Based on Fine Spatiotemporal Constraints. IEEE Internet Things J. Wuping Liu, Guo Wei, Yangfan Wang, Ruijie Wu
2022	J	`jnl`	Aquaculture Molecular Breeding Platform (AMBP): a comprehensive web server for genotype imputation and genetic analysis in aquaculture. Nucleic Acids Res. Qifan Zeng, Baojun Zhao, Hao Wang, Mengqiu Wang, Mingxuan Teng, Jingjie Hu, Zhenmin Bao, Yangfan Wang
2021	J	`jnl`	Recent advances in 3D object detection based on RGB-D: A survey. Displays Yangfan Wang, Chen Wang, Peng Long, Yuzong Gu, Wenfa Li
2020	—	`conf`	Effects of Deposition Current on the Microstructure and Pseudoelasticity of Wire-Arc Additively Manufactured Ni-rich NiTi Alloys. AHFE (16) Jun Wang, Zengxi Pan, Yangfan Wang, Kristin Carpenter, Huijun Li
2014	—	`conf`	The Influence of eWOM and Editor Information on Information Usefulness in Virtual Community. PACIS Chuan Luo, Yangfan Wang, Nan Wu, Xin Liang, Yunyong Guo

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.